Application of a Relative Visual Performance Model in a Virtual Reality Immersive System

Area of Science:

• Human-Computer Interaction
• Visual Perception
• Virtual Reality

Background:

• Evaluating user experience realism in Virtual Reality (VR) systems is crucial.
• Understanding visual perception, specifically contrast and luminance, is key to VR realism.

Purpose of the Study:

• To validate reaction time predictions from Rea and Ouellette's model in a VR environment.
• To assess the relationship between contrast, luminance, and perception in VR.

Main Methods:

• Subjects performed a reaction time task distinguishing a target from a uniform background in VR.
• Experiment focused on visual perception under varying contrast and luminance levels.

Main Results:

• Subject performance exceeded the predictions of the Rea and Ouellette model.
• Participants demonstrated enhanced perception at low contrast levels.
• Perception was facilitated by a larger visual field surrounding the target at low visibility.

Conclusions:

• The Rea and Ouellette model requires modification for accurate VR application.
• A visual field size factor should be incorporated into the model for VR environments.